Equifax is seeking a Big Data Engineer to become part of the Corporate Services Alliance implementing and supporting edge analytical solutions on a Google Cloud Ecosystem. You will find a great place to work if you are passionate about designing data ingestion jobs, learning new technologies, and proposing and adopting new technologies.
What you’ll do
Ability to design requirements on small systems or modules of medium systems (large scale) environment and technical documentation.
Apply basic principles of software engineering and can follow instructions. Provide meaningful feedback on the release process, code review, and design review.
Easily absorbs and applies new information. Displays a cooperative attitude and shares knowledge.
Apply modern software development practices (serverless computing, microservices architecture, CI/CD, infrastructure-as-code, etc.). Work across teams to integrate our systems with existing corporate product platforms
Participate in technology roadmap and architecture discussions to turn business requirements and vision into reality.
Participate in a tight-knit engineering team employing agile software development practices. Leverage automation within scope of effort
What experience you need
Bachelor's degree in Computer Science, Systems Engineering or equivalent experience
< 1 Experience/Knowledge in Data Engineering using programming languages such as Python, Java or Scala and SQL (is a must)
< 1 Experience/Knowledge in Data Pipelines
< 1 Experience/Knowledge with ETL (Extract, Transform, and Load) procedures
< 1 Experience/Knowledge in Big Data Technologies such as Hadoop, Spark, Beam, Hive, Airflow or equivalent
< 1 Experience/Knowledge in Cloud Technologies such as GCP or AWS
What could set you apart
Data Engineering using GCP Technologies (Big Query, Data Proc, Dataflow, Composer, etc)
Experience using encryption mechanism for sensitive data in transit and at rest
Working with multiple data sources and structures such as API, Database, JSON, CSV, XML, Text files, etc
Relational databases (e.g. Oracle, Postgre SQL, SQL Server, My SQL)
Source code control management systems (e.g. SVN/Git, Github)
Agile environments (e.g. Scrum, XP)
Atlassian tooling (e.g. JIRA, Confluence, and Github)